Challenge

We have just gotten a new customer and they need to be set up on Data Talks. The customer has sent an export of their ticketing system for single-ticket buyers. Your task is to create data mapping in accordance with the Data Talks structure and Documentation.

Attached, you will find the export in CSV.

App (root)
└─ CSV
   └─ Onboarding Specialist - Single ticket data - test.csv

What attributes should be considered as Profile, Events, and Inventory data points with their respective data types (string, integer, etc.)

• What unique key(s) do you suggest we apply to identify a match.
• What unique key(s) do you suggest we apply to identify a purchase.
• What unique key(s) do you suggest we apply to identify a supporter.
• If there are any columns you suggest to not import with a reasoning.
• What kind of data cleaning practices you would recommend performing before ingesting the data, what potential data quality issues you spot in the sample data.

Project setup

# yarn
yarn

# npm
npm install

# pnpm
pnpm install

Compiles and hot-reloads for development

# yarn
yarn dev

# npm
npm run dev

# pnpm
pnpm dev

Compiles and minifies for production

# yarn
yarn build

# npm
npm run build

# pnpm
pnpm build

Customize configuration

See Configuration Reference.